Moritz Mahling

20 papers receiving 372 citations

Moritz Mahling's Hit Papers

A Generative Pretrained Transformer (GPT)–Powered Chatbot as a Simulated Patient to Practice History Taking: Prospective, Mixed Methods Study 2024 · 72 citations
720+1Years since publication204060

Peers

Moritz Mahling
Comparison fields: 5 of 70
  • Health Informatics 76
  • Transplantation 43
  • Family Practice 13
  • Emergency Medicine 25
  • Endocrinology, Diabetes and Metabolism 42
Replace Jethro C.C. Kwong with:
Jethro C.C. Kwong Canada
Ivana Jankovic United States
Satya Shreenivas United States
Thomas J. Glorioso United States
Sumeet Pawar United States
H. Servy France
Iain B. McInnes United Kingdom
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Citations per year

Countries citing papers authored by Moritz Mahling

Since Specialization
Citations

This map shows the geographic impact of Moritz Mahling's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Moritz Mahling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moritz Mahling more than expected).

Fields of papers citing papers by Moritz Mahling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Moritz Mahling. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Moritz Mahling. The network helps show where Moritz Mahling may publish in the future.

Co-authors

The 25 scholars most cited alongside Moritz Mahling, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Moritz Mahling Line = papers co-authored together Moritz Mahling links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Generative Pretrained Transformer (GPT)–Powered Chatbot as a Simulated Patient to Practice History Taking: Prospective, Mixed Methods Study
Hit paper breakdown →
202472
2 201965
3 202451
4 202444
5 202330
6 201422
7 201718
8 201515
9 201614
10
Impact of anesthetics on 3'-[18F]fluoro-3'-deoxythymidine ([18F]FLT) uptake in animal models of cancer and inflammation.
20149
11 20198
12 20178
13 20137
14 20206
15 20246
16 20204
17 20152
18 20142
19 20212
20 20241

About Moritz Mahling

Moritz Mahling is a scholar working on Radiology, Nuclear Medicine and Imaging, Cancer Research, Surgery, Molecular Biology and Nephrology, having authored 21 papers that have together received 386 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (3 papers), Simulation-Based Education in Healthcare (2 papers), Renal Transplantation Outcomes and Treatments (2 papers), Medical Imaging Techniques and Applications (2 papers), Vitamin C and Antioxidants Research (1 paper), Surgical Simulation and Training (1 paper), Bone and Joint Diseases (1 paper) and Patient Safety and Medication Errors (1 paper). The work is most often cited by research in Health Informatics (76 citations), Transplantation (43 citations), Family Practice (13 citations), Emergency Medicine (25 citations) and Endocrinology, Diabetes and Metabolism (42 citations). Moritz Mahling has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Anne Herrmann‐Werner, Teresa Festl‐Wietek, Friederike Holderried, Martin Holderried, Jan Griewatz, Martina Guthoff, Nils Heyne, Silvio Nadalin, Anja Schork and Andreas Fritsche. Their work appears in journals such as PLoS ONE, Journal of Medical Internet Research, BMC Medical Education, JMIR Medical Education and Kidney & Blood Pressure Research.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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